P-Image-Edit is Pruna's image editing model that performs multi-image edits in under one second. Unlike single-image editors, it can combine up to five reference images with precise control, enabling composition work, style transfers, and targeted transformations across several sources at once. The model focuses on faithful prompt following and styled text rendering without misspelling, letting developers and designers specify modifications through natural language. It supports common aspect ratios and custom dimensions up to 1440 pixels, matching the versatility of its text-to-image sibling. P-Image-Edit fits gaming asset creation, retail and product photography, digital advertising where rapid iteration is critical, and design projects that integrate multiple sources. Effective use means specifying the modification instruction (add, remove, modify, transform), a clear change target, and preservation requirements so identity, composition, lighting, or style stay intact.
Usage-based pricing, billed per generation, not by token.
| Variant | Price |
|---|---|
| Standard | $0.01 / generation |
Pruna P-Image Edit runs on 1 route through the qynio gateway. Compare residency, zero retention, and training posture at a glance — full data-handling detail per route below.
| Provider | Region | Zero data retention | Training | Price |
|---|---|---|---|---|
| US | Not by default | No | $0.01 / generation |
Each route hosting Pruna P-Image Edit has its own privacy posture, residency, and no-KYC terms. Postures are maintained by qynio with a last-verification timestamp.
Zero data retention is not on by default — abuse monitoring. No training on customer data. US; wallets; deposit available.
Call Pruna P-Image Edit through the qynio gateway with one API key. Let your coding agent set it up, or call it directly — qynio is drop-in compatible with the OpenAI, Anthropic, and Google AI SDKs.
Copy this and paste it into a coding agent like Claude Code, Cursor or Codex and it'll wire up qynio for you.
import OpenAI from "openai";const client = new OpenAI({apiKey: process.env.QYN_API_KEY,baseURL: "https://api.qyn.io/v3/compat",});const completion = await client.chat.completions.create({model: "pruna/p-image-edit",messages: [{ role: "user", content: "Hello" }],});console.log(completion.choices[0].message.content);
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